22026 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 22026 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 7,612, 100% | 3,964,601 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,179, 68.04%, see rank | 77.46% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,487, 19.53%, see rank | 9.56% | 9.59% |
| Public Transportation | 478, 6.28%, see rank | 4.50% | 5.06% |
| Walked | 132, 1.73%, see rank | 2.38% | 2.78% |
| Other Means | 119, 1.56%, see rank | 1.51% | 1.79% |
| Worked at Home | 217, 2.85%, see rank | 4.59% | 4.37% |
Mean Travel Time to Work, see rank| 22026 Zip Code | 41.8 minutes |
| Virginia | 28.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 22026 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 7,114, 100% | 3,906,766 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,029, 70.69%, see rank | 77.20% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,175, 16.52%, see rank | 10.18% | 10.03% |
| Public Transportation | 384, 5.40%, see rank | 4.43% | 4.98% |
| Walked | 150, 2.11%, see rank | 2.30% | 2.82% |
| Other Means | 142, 2.00%, see rank | 1.41% | 1.76% |
| Worked at Home | 234, 3.29%, see rank | 4.48% | 4.27% |
Mean Travel Time to Work, see rank| 22026 Zip Code | 41.6 minutes |
| Virginia | 27.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 22026 Zip Code | Virginia | U.S. |
| Workers 16 Years and Over | 11,525, 100% | 3,481,820 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,971, 69.16%, see rank | 77.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,588, 22.46%, see rank | 12.67% | 12.19% |
| Public Transportation | 470, 4.08%, see rank | 3.57% | 4.73% |
| Walked | 77, 0.67%, see rank | 2.31% | 2.93% |
| Other Means | 94, 0.82%, see rank | 1.15% | 1.19% |
| Worked at Home | 325, 2.82%, see rank | 3.16% | 3.26% |
Mean Travel Time to Work, see rank| 22026 Zip Code | 41.3 minutes |
| Virginia | 26.6 minutes |
| U.S. | 25.1 minutes |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.
